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第一和第二语言Stroop任务中EEG同步化分析
引用本文:刘小峰,祁欢,王怡,王素品,万明习. 第一和第二语言Stroop任务中EEG同步化分析[J]. 生物物理学报, 2005, 21(3): 233-240
作者姓名:刘小峰  祁欢  王怡  王素品  万明习
作者单位:西安交通大学生命科学与技术学院生物医学工程系,生物医学信息工程教育部重点实验室,西安,710049
基金项目:国家自然科学基金项目(30070212),国家杰出青年科学基金项目(69925101)
摘    要:采用基于多元自回归的瞬时EEG相干方法研究了十位汉英双语者执行Stroop任务时脑神经电活动及其功能皮层区的协同作用。结果显示:在β1(13-18Hz)频段,无论是汉语(第一语言,L1)还是英语(第二语言,L2)呈现的刺激,不一致条件的EEG相干值明显大于一致条件的EEG相干值,表明β1频段对刺激类型敏感;与L2相比,L1的Stroop任务中,额一顶区的相干值显著增强。EEG相干值反映了不同脑皮层间的相互作用强度。因此研究结果表明:判断和处理冲突信息(如Stroop的不一致条件)时脑功能皮层区之间的协同作用增强;相对于第二语言,第一语言处理过程中额一顶区之间的通信协作增加。

关 键 词:瞬时EEG相干 多元自回归 Stroop 语言处理
收稿时间:2005-01-06
修稿时间:2005-01-06

Analysis of EEG synchronization during the native and second language Stroop task
LIU Xiao-feng,QI Huan,WANG Yi,WANG Su-pin,WAN Ming-xi. Analysis of EEG synchronization during the native and second language Stroop task[J]. Acta Biophysica Sinica, 2005, 21(3): 233-240
Authors:LIU Xiao-feng  QI Huan  WANG Yi  WANG Su-pin  WAN Ming-xi
Affiliation:Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China
Abstract:Instantaneous coherence estimation based on the multivariate autoregressive model (MVAR) was applied to investigate the neural electrophysiological activities and the interaction of functional cortical areas in 10 bilinguals performing Stroop task using Chinese (L1) and English (L2). It was found that:In 1(13~18 Hz)frequency band, the EEG coherence at incongruent situation was higher than that at congruent situation in both L1 and L2, which indicated that 1 was sensitive to the discrimination between the congruent and the incongruent situations; A stronger EEG coherence between frontal and parietal regions in L1 version occurs, compared to that in L2 version. These findings indicated that the interaction of functional cortical areas was enhanced to evaluate the conflicting information of the incongruent stimulus, and stronger interaction between frontal and parietal areas occurred whilst processing the first language compare with the second language.
Keywords:Instantaneous EEG coherence  MVAR  Stroop  Language processing  
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